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dc.contributor.authorTseng, Chia-Chunen_US
dc.contributor.authorLin, Yuan-Zhaoen_US
dc.contributor.authorLin, Chia-Huien_US
dc.contributor.authorLi, Ruei-Nianen_US
dc.contributor.authorYen, Chang-Yien_US
dc.contributor.authorChan, Hua-Chenen_US
dc.contributor.authorTsai, Wen-Chanen_US
dc.contributor.authorOu, Tsan-Tengen_US
dc.contributor.authorWu, Cheng-Chinen_US
dc.contributor.authorSung, Wan-Yuen_US
dc.contributor.authorYen, Jeng-Hsienen_US
dc.date.accessioned2019-12-13T01:10:04Z-
dc.date.available2019-12-13T01:10:04Z-
dc.date.issued2019-09-01en_US
dc.identifier.urihttp://dx.doi.org/10.3390/jcm8091284en_US
dc.identifier.urihttp://hdl.handle.net/11536/153125-
dc.description.abstractUsing next-generation sequencing to decipher methylome and transcriptome and underlying molecular mechanisms contributing to rheumatoid arthritis (RA) for improving future therapies, we performed methyl-seq and RNA-seq on peripheral blood mononuclear cells (PBMCs) from RA subjects and normal donors. Principal component analysis and hierarchical clustering revealed distinct methylation signatures in RA with methylation aberrations noted across chromosomes. Methylation alterations varied with CpG features and genic characteristics. Typically, CpG islands and CpG shores were hypermethylated and displayed the greatest methylation variance. Promoters were hypermethylated and enhancers/gene bodies were hypomethylated, with methylation variance associated with expression variance. RA genetically associated genes preferentially displayed differential methylation and differential expression or interacted with differentially methylated and differentially expressed genes. These differentially methylated and differentially expressed genes were enriched with several signaling pathways and disease categories. 10 genes (CD86, RAB20, XAF1, FOLR3, LTBR, KCNH8, DOK7, PDGFA, PITPNM2, CELSR1) with concomitantly differential methylation in enhancers/promoters/gene bodies and differential expression in B cells were validated. This integrated analysis of methylome and transcriptome identified novel epigenetic signatures associated with RA and highlighted the interaction between genetics and epigenetics in RA. These findings help our understanding of the pathogenesis of RA and advance epigenetic studies in regards to the disease.en_US
dc.language.isoen_USen_US
dc.subjectrheumatoid arthritisen_US
dc.subjectmethylationen_US
dc.subjectnext-generation sequencingen_US
dc.titleNext-Generation Sequencing Profiles of the Methylome and Transcriptome in Peripheral Blood Mononuclear Cells of Rheumatoid Arthritisen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/jcm8091284en_US
dc.identifier.journalJOURNAL OF CLINICAL MEDICINEen_US
dc.citation.volume8en_US
dc.citation.issue9en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.identifier.wosnumberWOS:000489184200018en_US
dc.citation.woscount0en_US
Appears in Collections:Articles